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arxiv: 2312.17595 · v1 · pith:ARCDLZ7Enew · submitted 2023-12-29 · 💻 cs.CY · cs.HC

Exploring the current applications and potential of extended reality for environmental sustainability in manufacturing

classification 💻 cs.CY cs.HC
keywords environmentalmanufacturingsustainabilityrealitycasescurrentindustrytechnology
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In response to the transformation towards Industry 5.0, there is a growing call for manufacturing systems that prioritize environmental sustainability, alongside the emerging application of digital tools. Extended Reality (XR) - including Virtual Reality (VR), Augmented Reality (AR) and Mixed Reality (MR) - is one of the technologies identified as an enabler for Industry 5.0. XR could potentially also be a driver for more sustainable manufacturing: however, its potential environmental benefits have received limited attention. This paper aims to explore the current manufacturing applications and research within the field of XR technology connected to the environmental sustainability principle. The objectives of this paper are two-fold: (1) Identify the currently explored use cases of XR technology in literature and research, addressing environmental sustainability in manufacturing; (2) Provide guidance and references for industry and companies to use cases, toolboxes, methodologies, and workflows for implementing XR in environmental sustainable manufacturing practices. Based on the categorization of sustainability indicators, developed by the National Institute of Standards and Technology (NIST), the authors analyzed and mapped the current literature, with criteria of pragmatic XR use cases for manufacturing. The exploration resulted in a mapping of the current applications and use cases of XR technology within manufacturing that has the potential to drive environmental sustainability. The results are presented as stated use-cases with reference to the literature, contributing as guidance and inspiration for future researchers or implementations in industry, using XR as a driver for environmental sustainability. Furthermore, the authors open up the discussion for future work and research to increase the attention of XR as a driver for environmental sustainability.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Dynamic XR Rendering Offloading Based on Feature-Based Quality Assessment

    eess.IV 2026-06 unverdicted novelty 4.0

    The paper presents an edge-aided XR testbed with dynamic offloading, a deep feature-based perceptual quality metric robust to misalignments, and a contextual bandit controller for real-time rendering decisions.